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Record W4212872437 · doi:10.1186/s12896-022-00737-7

An efficient and specific CRISPR-Cas9 genome editing system targeting soybean phytoene desaturase genes

2022· article· en· W4212872437 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMC Biotechnology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsBiologyPhytoene desaturaseCRISPRGenome editingGeneCas9GeneticsGenomeComputational biologyGene silencing

Abstract

fetched live from OpenAlex

BACKGROUND: Genome editing by CRISPR/Cas9 has become a popular approach to induce targeted mutations for crop trait improvement. Soybean (Glycine max L. Merr.) is an economically important crop worldwide. Although gene editing has been demonstrated in soybean, its utilization in stably transformed plants through whole plant regeneration is still not widespread, largely due to difficulties with transformation or low mutation efficiencies. RESULTS: We sought to establish a simple, efficient, and specific CRISPR/Cas9 system to induce heritable mutations in soybean through stable transformation. We targeted phytoene desaturase (PDS) genes due to the distinctive dwarf and albino phenotypes of the loss of function mutant. To evaluate gene editing efficiency and specificity, three constructs targeting each of the two homologous soybean PDS genes specifically, as well as two constructs targeting both simultaneously with one guide RNA were created. Instead of using cotyledonary nodes from germinated seedlings, we used 'half-seed' explants derived from imbibed seeds for Agrobacterium-mediated transformation of cultivar Williams 82. Transformed plants for all five constructs were recovered. Dwarf and albino phenotypes were observed in transgenic plants harboring the constructs targeting both PDS genes. Gene editing at the desired loci was detected in the majority of T0 transgenic plants, with 75-100% mutation efficiencies. Indel frequencies varied widely among plants (3-100%), with those exhibiting visible mutant phenotypes showing higher frequencies (27-100%). Deletion was the predominant mutation type, although 1-nucleotide insertion was also observed. Constructs designed to target only one PDS gene did not induce mutation in the other homologous counterpart; and no mutation at several potential off-target loci was detected, indicating high editing specificity. Modifications in both PDS genes were transmitted to T1 progenies, including plants that were negative for transgene detection. Strong mutant phenotypes were also observed in T1 plants. CONCLUSIONS: Using simple constructs containing one guide RNA, we demonstrated efficient and specific CRISPR/Cas9-mediated mutagenesis in stably transformed soybean plants, and showed that the mutations could be inherited in progenies, even in plants that lost transgenes through segregation. The established system can be employed to edit other genes for soybean trait improvement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.244
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it